V F (VFC) Total Non-Current Liabilities (2009 - 2026)
V F's Total Non-Current Liabilities was $7.07 billion in fiscal Q1 2027 (quarter ended Jun 27, 2026), down 13.1% from $8.14 billion a year earlier but up 3.6% from the prior quarter.
V F (VFC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 28, 2026), Total Non-Current Liabilities at V F came in at $6.82 billion, down 5.3% from FY2025.
- Total Non-Current Liabilities has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -5.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $7.2 billion in FY2025 (-22.7%), $9.32 billion in FY2024 (-10.6%), $10.43 billion in FY2023 (+16.9%) and $8.92 billion in FY2022 (-2.5%).
- Quarterly Total Non-Current Liabilities has moved between $6.82 billion (fiscal Q4 2026) and $10.69 billion (fiscal Q1 2024) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has declined for 11 straight quarters, with an average decline of 11.8% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q1 2024 (growth of 19.6%); the worst was fiscal Q4 2025 (a decline of 22.7%).
- Per Business Quant data, VFC's Total Non-Current Liabilities in the three fiscal quarters before Q1 2027 was $6.82 billion (Q4 2026), $7.96 billion (Q3 2026) and $8.46 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 53.14 Bn | 19.13 Bn | 5.39 Bn | - |
| 2 | Tapestry | 22.87 Bn | 18.83 Bn | 1.56 Bn | 5.46 Bn |
| 3 | Ralph Lauren | 21.39 Bn | 13.49 Bn | 1.44 Bn | 4.76 Bn |
| 4 | Deckers Outdoor | 11.06 Bn | 3.93 Bn | - | 384.05 Mn |
| 5 | Lululemon Athletica | 10.32 Bn | 4.58 Bn | 1.46 Bn | 3.63 Bn |
| 6 | Levi Strauss | 7.62 Bn | 4.28 Bn | 979.10 Mn | 4.12 Bn |
| 7 | Gildan Activewear | 6.55 Bn | 5.54 Bn | 459.76 Mn | 4.37 Bn |
| 8 | Birkenstock Holding | 6.07 Bn | 4.38 Bn | 493.89 Mn | 2.75 Bn |
| 9 | Crocs | 5.90 Bn | 5.31 Bn | 700.71 Mn | 2.33 Bn |
| 10 | V F | 5.70 Bn | 2.32 Bn | 917.04 Mn | 7.07 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.07 Bn |
| Mar 28, 2026 | 6.82 Bn |
| Dec 27, 2025 | 7.96 Bn |
| Sep 27, 2025 | 8.46 Bn |
| Jun 28, 2025 | 8.14 Bn |
| Mar 29, 2025 | 7.20 Bn |
| Dec 28, 2024 | 8.22 Bn |
| Sep 28, 2024 | 10.15 Bn |
| Jun 29, 2024 | 9.52 Bn |
| Mar 30, 2024 | 9.32 Bn |
| Dec 30, 2023 | 9.89 Bn |
| Sep 30, 2023 | 10.33 Bn |
| Jul 1, 2023 | 10.69 Bn |
| Apr 1, 2023 | 10.43 Bn |
| Dec 31, 2022 | 10.23 Bn |
| Oct 1, 2022 | 9.89 Bn |
| Jul 2, 2022 | 8.94 Bn |
| Apr 2, 2022 | 8.92 Bn |
| Jan 1, 2022 | 8.96 Bn |
| Oct 2, 2021 | 9.21 Bn |
V F Total Non-Current Liabilities API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=VFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "VFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=VFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();